Product Owner, Agentic AI

Jerry.ai•New York, NY

5d•$160,000 - $210,000•Remote

About The Position

Jerry.ai is seeking a Product Owner for Agentic AI to lead the development and scaling of their AI platform and customer experiences. This role sits at the intersection of product, engineering, and applied AI, focusing on leveraging LLMs, agents, and internal APIs to create a seamless customer experience. The Product Owner will work with partners like OpenAI to integrate Jerry.ai services and pioneer new model capabilities. The company is a pre-IPO startup with significant funding, traction, and profitability, offering accelerated career growth and direct reporting to the COO. The need for this role stems from the complexity of managing multiple AI prompt locations and the strategic importance of defining the roadmap for future AI advancements such as voicebot and computer use applications.

Requirements

3+ years of experience in a technical role like forward deployed engineering, technical product management, or similar at a fast-paced startup.
Passion and curiosity for AI systems including modern LLMs, etc.
Track record of taking complex, strategic ideas and turning them into scalable, production-grade products.
Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows.
Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience.
Experimenter: You think only in terms of what’s possible. AI is rapidly evolving, and you’re constantly tinkering and finding new capabilities that didn’t exist yesterday.
Data-Driven: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses.
Pragmatic: You can navigate technical tradeoffs and lead by example when implementing AI platform standards.

Responsibilities

Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout.
Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.
Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.
Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.
Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.